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Add instance segmentation and vision-eye mapping in Docs + Fix minor code bug in other real-world-projects (#6972)

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Muhammad Rizwan Munawar 2023-12-18 20:41:33 +05:00 • committed by GitHub
parent e9def85f1f
commit 34b10b2db3
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10 changed files with 385 additions and 56 deletions
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15
docs/en/guides/workouts-monitoring.md
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@ -45,10 +45,13 @@ Monitoring workouts through pose estimation with [Ultralytics YOLOv8](https://gi
while cap.isOpened():
success, im0 = cap.read()
if not success:
exit(0)
print("Video frame is empty or video processing has been successfully completed.")
break
frame_count += 1
results = model.predict(im0, verbose=False)
im0 = gym_object.start_counting(im0, results, frame_count)
cv2.destroyAllWindows()
```
=== "Workouts Monitoring with Save Output"
@ -62,9 +65,9 @@ Monitoring workouts through pose estimation with [Ultralytics YOLOv8](https://gi
assert cap.isOpened(), "Error reading video file"
video_writer = cv2.VideoWriter("workouts.avi",
cv2.VideoWriter_fourcc(*'mp4v'),
int(cap.get(5)),
(int(cap.get(3)), int(cap.get(4))))
cv2.VideoWriter_fourcc(*'mp4v'),
int(cap.get(5)),
(int(cap.get(3)), int(cap.get(4))))
gym_object = ai_gym.AIGym() # init AI GYM module
gym_object.set_args(line_thickness=2,
@ -76,12 +79,14 @@ Monitoring workouts through pose estimation with [Ultralytics YOLOv8](https://gi
while cap.isOpened():
success, im0 = cap.read()
if not success:
exit(0)
print("Video frame is empty or video processing has been successfully completed.")
break
frame_count += 1
results = model.predict(im0, verbose=False)
im0 = gym_object.start_counting(im0, results, frame_count)
video_writer.write(im0)
cv2.destroyAllWindows()
video_writer.release()
```